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Jeffrey Munk
Jeffrey Munk
在 nrel.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
F Li, Y Du
Deep Learning for Power System Applications: Case Studies Linking Artificial …, 2023
1852023
A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses
B Cui, C Fan, J Munk, N Mao, F Xiao, J Dong, T Kuruganti
Applied energy 236, 101-116, 2019
942019
A scalable and distributed algorithm for managing residential demand response programs using alternating direction method of multipliers (ADMM)
X Kou, F Li, J Dong, M Starke, J Munk, Y Xue, M Olama, H Zandi
IEEE Transactions on Smart Grid 11 (6), 4871-4882, 2020
672020
Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
Y Du, F Li, J Munk, K Kurte, O Kotevska, K Amasyali, H Zandi
Electric Power Systems Research 192, 106959, 2021
552021
Alternative Refrigerant Evaluation for High-Ambient Temperature Environments: R-22 and R-410A Alternatives for Mini-Split Air Conditioners
O Abdelaziz, JD Munk, SS Shrestha, RL Linkous, W Goetzler, M Guernsey, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Building …, 2015
472015
Exergy analysis of a two-stage ground source heat pump with a vertical bore for residential space conditioning under simulated occupancy
MR Ally, JD Munk, VD Baxter, AC Gehl
Applied Energy 155, 502-514, 2015
462015
Effect of occupant behavior and air-conditioner controls on humidity in typical and high-efficiency homes
J Winkler, J Munk, J Woods
Energy and Buildings 165, 364-378, 2018
372018
Evaluating the adaptability of reinforcement learning based HVAC control for residential houses
K Kurte, J Munk, O Kotevska, K Amasyali, R Smith, E McKee, Y Du, B Cui, ...
Sustainability 12 (18), 7727, 2020
332020
Aggregation and data driven identification of building thermal dynamic model and unmeasured disturbance
Z Guo, AR Coffman, J Munk, P Im, T Kuruganti, P Barooah
Energy and Buildings 231, 110500, 2021
282021
Cooling season full and part load performance evaluation of variable refrigerant flow (VRF) system using an occupancy simulated research building
P Im, M Mini, JD Munk, J Lee
282016
Exergy and energy analysis of a ground-source heat pump for domestic water heating under simulated occupancy conditions
MR Ally, JD Munk, VD Baxter, AC Gehl
International journal of refrigeration 36 (5), 1417-1430, 2013
272013
Exergy analysis and operational efficiency of a horizontal ground-source heat pump system operated in a low-energy test house under simulated occupancy conditions
MR Ally, JD Munk, VD Baxter, AC Gehl
International Journal of Refrigeration 35 (4), 1092-1103, 2012
262012
Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control
J Joe, J Dong, J Munk, T Kuruganti, B Cui
Sustainable Cities and Society 64, 102491, 2021
212021
Building thermal model development of typical house in US for virtual storage control of aggregated building loads based on limited available information
B Cui, J Munk, R Jackson, D Fugate, M Starke
Proceedings of ECOS, 2017
212017
Deep reinforcement learning for autonomous water heater control
K Amasyali, J Munk, K Kurte, T Kuruganti, H Zandi
Buildings 11 (11), 548, 2021
192021
Agent-based system for transactive control of smart residential neighborhoods
M Starke, J Munk, H Zandi, T Kuruganti, H Buckberry, J Hall, J Leverette
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
172019
Real-time MPC for residential building water heater systems to support the electric grid
M Starke, J Munk, H Zandi, T Kuruganti, H Buckberry, J Hall, J Leverette
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020
162020
Demonstration of intelligent HVAC load management with deep reinforcement learning: real-world experience of machine learning in demand control
Y Du, F Li, K Kurte, J Munk, H Zandi
IEEE Power and Energy Magazine 20 (3), 42-53, 2022
152022
Methodology for interpretable reinforcement learning model for HVAC energy control
O Kotevska, J Munk, K Kurte, Y Du, K Amasyali, RW Smith, H Zandi
2020 IEEE International Conference on Big Data (Big Data), 1555-1564, 2020
152020
Rl-hems: Reinforcement learning based home energy management system for hvac energy optimization
O Kotevska, K Kurte, J Munk, T Johnston, E Mckee, K Perumalla, H Zandi
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020
152020
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